Author

J. Theobald

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Animal Behavior & Cognition· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:chicken / avian· 1 Approach:deep learning· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

A. D. Buffry· 1 shared A. G. McElligott· 1 shared A. MAO· 1 shared A. P. Bodey· 1 shared A. P. McGregor· 1 shared C. Giraudet· 1 shared C. M. Schlepütz· 1 shared C. Rau· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEvolutionary Biology

A. D. Buffry

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Evolution of compound eye morphology underlies differences in vision between closely related Drosophila species

A. D. Buffry, J. P. Currea, F. A. Franke, R. Palavalli-Nettimi, A. P. Bodey, C. Rau, N. Samadi, S. J. Gstöhl, C. M. Schlepütz, A. P. McGregor, L. Sumner-Rooney, J. Theobald, M. Kittelmann

This study compares vision differences between Drosophila species by analyzing eye morphology and optical parameters, finding D. mauritiana has higher contrast sensitivity while D. simulans has higher spatial acuity.

bioRxiv · Jul 16, 2023Evolutionary Biology

Automated identification of chicken distress vocalisations using deep learning models

A. MAO, C. Giraudet, K. LIU, I. De Almeida Nolasco, Z. Xie, Z. Xie, Y. Gao, J. Theobald, D. Bhatta, R. Stewart, A. G. McElligott

This paper develops a lightweight deep learning model to automatically identify chicken distress calls, achieving high accuracy with reduced computational requirements.

bioRxiv · Dec 15, 2021Animal Behavior & Cognition